Vehicle Image Data Processing System for Ambient Illumination Compensation
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Solution Overview
Problem
Current image data processing systems for vehicles face challenges in noise reduction, maintaining image clarity, and compensating for ambient illumination, which can lead to decreased contrast and unnatural pixel mapping, limiting the expression of display panels and impairing legibility.
Innovation Solution
An image data processing system that includes an illumination sensor, noise removal unit, image characteristic analysis unit, cognitive difference generation unit, compensation calculation unit, and legibility improvement unit, which senses ambient illumination, removes noise, calculates optimal frame gain, and adjusts grayscale to maintain image clarity and prevent clipping, while darkening surrounding areas to minimize legibility impairment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If frame gain is applied to compensate for ambient illumination, then screen cognition is improved, but noise in the image increases
Solution Approach 1:
The patent applies different processing strategies to different regions of the image based on local characteristics. The legibility improvement unit identifies specific regions requiring enhancement and applies high-frequency component generation only to those areas, while the noise removal unit processes noise selectively without affecting the entire image uniformly. This localized approach allows noise reduction in compensated regions without degrading overall image quality.
Solution Approach 2:
The patent segments the image processing into distinct functional units: illumination sensing, noise removal, frame gain calculation, and legibility improvement. Each unit operates on specific aspects of the image data independently. The compensation calculation unit divides the input gray into multiple sections and applies different proportional relationships to each section, enabling selective compensation that avoids uniform noise amplification across the entire image.
2Illumination intensity
If histogram processing is applied to adjust grayscale, then specific grayscale control is improved, but natural pixel mapping is degraded and information is lost
Solution Approach 1:
The patent changes the approach from fixed histogram-based grayscale mapping to dynamic parameter adjustment based on ambient illumination intensity. The frame gain is calculated as a function of illumination levels, and the compensation calculation unit adjusts proportional relationships in different gray sections dynamically. This allows grayscale control that adapts to lighting conditions without the information loss inherent in fixed histogram processing.
3Illumination intensity
If strong compensation is applied to screen brightness, then ambient illumination compensation is improved, but contrast decreases due to display panel limitations
Solution Approach 1:
The patent applies different compensation strengths to different regions and grayscale levels. The compensation calculation unit divides input gray into multiple sections and applies different proportional relationships to each section, preserving contrast in critical regions while providing sufficient compensation in others. The legibility improvement unit further refines this by enhancing specific requiring areas with high-frequency components rather than applying uniform strong compensation across the entire image.
4Ease of operation
If frame gain is calculated without considering ambient illumination intensity, then calculation simplicity is improved, but compensation accuracy is degraded
Solution Approach 1:
The patent implements a feedback mechanism where the illumination sensor continuously monitors ambient illumination intensity and feeds this information to the frame gain calculation unit. The frame gain is dynamically adjusted based on the sensed illumination levels, creating a closed-loop system that automatically adapts to changing lighting conditions. This maintains calculation simplicity while significantly improving compensation accuracy compared to fixed frame gain approaches.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Effectively removes noise, calculates optimal frame gain, and compensates for nonlinear cognition impairment, ensuring constant grayscale perception and maintaining image clarity by darkening surrounding areas, thus minimizing legibility impairment due to ambient illumination.
Implementation Method 1
an illumination sensor configured to provide an illumination sensing signal by sensing an ambient illumination
Data Source
AI summary
The present disclosure discloses an image data processing system, and discloses an image data processing system for a vehicle, which compensates image data by reflecting an ambient illumination.